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In this work, we consider the problem of blind identification of underdetermined mixtures in a cyclostationary context relying on sixthorder statistics. We propose to exploit the cyclostationarity at higher orders by taking into account the knowledge of source cyclic frequencies in the sample estimator of the observation hexacovariance. Two blind identification algorithms based on the proposed estimator...
The present bibliography represents a comprehensive list of references on cyclostationarity and its applications. An attempt has been made to make this bibliography complete by listing most of the existing references up to the year 2005 and by providing a detailed classification group.
The problem of blind parameter estimation in multiple-access communication systems with circular transmissions is addressed. A non-data aided algorithm based on the higher-order cyclostationarity features of the received signal is proposed to estimate amplitude, phase, time delay, and frequency shift of each user.Furthermore, a reduced-complexity version of the algorithm is proposed whose computational...
By establishing a relationship between the classical ambiguity function and the sample cyclic cross correlation, it is shown that the former provides consistent estimates of delay and Doppler when the target echoes are observed in stationary noise. A novel fourth-order ambiguity function is proposed for estimating the delay and Doppler from random modulated Doppler-spread echoes. It is also shown...
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